Video-Based Human Behavior Understanding: A Survey

Understanding human behaviors is a challenging problem in computer vision that has recently seen important advances. Human behavior understanding combines image and signal processing, feature extraction, machine learning, and 3-D geometry. Application scenarios range from surveillance to indexing an...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 23; H. 11; S. 1993 - 2008
Hauptverfasser:	Borges, Paulo Vinicius Koerich, Conci, Nicola, Cavallaro, Andrea
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.11.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Artificial intelligence Behavior Behavior analysis Behavioral science Computer science; control theory; systems Computer vision Detection, estimation, filtering, equalization, prediction Exact sciences and technology Feature extraction Hidden Markov models human detection Image processing Information, signal and communications theory Pattern recognition. Digital image processing. Computational geometry Services and terminals of telecommunications Signal and communications theory Signal processing Signal, noise Support vector machines Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Telemetry. Remote supervision. Telewarning. Remote control video analysis Computer vision Range finding Image processing human detection Behavior analysis Coverage video analysis Image analysis Aspect oriented Signal processing Feature extraction Safety Motion analysis Artificial intelligence Comparative study Monitoring Indexing
ISSN:	1051-8215, 1558-2205
Online-Zugang:	Volltext
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